The Relationship between Energy Consumption, CO2 Emissions, Economic Growth, and Health Indicators
Bibliographic Data
| ID | 15515212 |
|---|---|
| Authors | Jing Li (0000-0001-7792-4322, Minzu University of China), Muhammad Irfan (0000-0003-1446-583X, COMSATS University Islamabad, corresponding author), Sarminah Samad (0000-0001-5965-7726, Princess Nourah bint Abdulrahman University), Basit Ali (0000-0002-7306-5329, COMSATS University Islamabad), Yao Zhang (0000-0002-8694-5245, Hebei Finance University), Daniel Badulescu (0000-0001-8653-0149, University of Oradea), Alina Badulescu (0000-0002-0090-9340, University of Oradea) |
| Year | 2023 |
| Volume | 20 |
| Issue | 3 |
| Pages | 2325-2325 |
| Publication date | 2023-01-28 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph20032325 |
| PMID | 36767690 |
| OpenAlex | W4318475376 |
| Language | EN |
| Citations received | 16 |
| References cited | 40 |
The health and wellness of people through life expectancy, mortality rate improvement, and sustaining the productivity of labor contributes a lot to national income. Infrastructure development consumes energy and releases carbon dioxide at different stages of the construction process. The current study explores the nexus between CO 2 emission, energy consumption, mortality, life expectancy, and GDP in the top five carbon-emitting countries by using time series data from 1975 to 2015. The study used a cointegration technique to find the long- and short-run relationships between study variables. The study also used a structural break test to identify the break time. The results of the correlation matrix show strong positive correlation between CO 2 emissions and energy consumption. It also reflects a weak correlation with mortality and life expectancy in Japan and Russia. The results of the ADF test indicated that the series are stationary at first difference and provided evidence to use Johansen cointegration test for long- and short-run relationships between independent series. Vector error correction term and ECT method are used to find long-run relationships between cointegrated series and adjustment parameters. For the structural breaks of health indicators and energy consumption study, we used the Gregory Hanson structural break. Mortality rate and life expectancy rate of China, U.S., Russia, India, and Japan show relevant policy changes with economic policies of each country
Bivariate analysis · Cointegration · Consumption (sociology · Demographic economics · Econometrics · Economics · Energy consumption · Environmental health · Error correction model · Expectancy theory · Johansen test · Life expectancy · Macroeconomics · Nexus (standard · Short run · Statistics · Structural break · Time series · Air Quality and Health Impacts · Energy, Environment, and Transportation Policies · Energy, Environment, Economic Growth · Engineering · Mathematics · Medicine
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| Unique citing works | 16 |
|---|---|
| Citations per year | 5,33 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 16 |